Speech Recognition
Collection
8 items
•
Updated
This model is a fine-tuned version of openai/whisper-large-v3 on Welsh and English bilingual data originally from Mozilla's Common Voice dataset (see: techiaith/commonvoice_16_1_en_cy).
It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
0.2078 | 0.25 | 1000 | 0.2198 | 28.7556 |
0.1623 | 0.5 | 2000 | 0.1800 | 31.3698 |
0.1417 | 0.75 | 3000 | 0.1585 | 18.7051 |
0.1188 | 1.01 | 4000 | 0.1480 | 25.1341 |